Abstract
Visual information plays an important role in almost all areas of our life. Due to the vast amount of data associated with images, compression is a key technology for their digital transmission and storage. As an example, consider a single still color image of 512 × 512 pixels with 3 color components and 8 bits per sample per component resolution, which represents a data volume of 768 kBytes. For video, the problem is even more severe; a one-hour movie in a resolution according to the CCIR 601 studio standard [75] would need as much as 74.7 GBytes, when stored in uncompressed PCM format. These examples clearly demonstrate the need for efficient compression algorithms for images.
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© 1996 Kluwer Academic Publishers
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Girod, B., Hartung, F., Horn, U. (1996). Subband Image Coding. In: Akansu, A.N., Smith, M.J.T. (eds) Subband and Wavelet Transforms. The Kluwer International Series in Engineering and Computer Science, vol 340. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0483-8_7
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DOI: https://doi.org/10.1007/978-1-4613-0483-8_7
Publisher Name: Springer, Boston, MA
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